{"id":"W989212726","doi":"10.1007/978-1-4020-6364-0_16","title":"Bioaerosol Standoff Monitoring Using Intensified Range-Gated Laser-Induced Fluorescence Spectroscopy","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Remote sensing; Bioaerosol; Aerosol; Environmental science; Lidar; Range (aeronautics); Materials science; Meteorology; Physics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000125381,0.0003526905,0.000273464,0.000225304,0.0001161259,0.0005066862,0.0008697942,0.0005607864,0.001002483],"category_scores_gemma":[0.00007560122,0.0002179337,0.0002600897,0.0002856821,0.0002115666,0.0006757324,0.0002747471,0.0004468928,0.0006900898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687028,"about_ca_system_score_gemma":0.0001630702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007932025,"about_ca_topic_score_gemma":0.00197105,"domain_scores_codex":[0.9998817,0.000008300372,0.000002658644,0.00003860932,0.00005727071,0.00001149206],"domain_scores_gemma":[0.9999691,0.000009836714,0.000005622328,0.00000450471,0.000008607156,0.000002378626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002803113,0.0000174598,0.0002292406,0.00005418714,0.000004211136,0.00004712897,0.00002739952,0.0009373144,0.9552218,0.0006468262,0.0007633801,0.04202295],"study_design_scores_gemma":[0.000004083961,0.00008842687,0.001733339,0.00001622293,0.00001164145,0.000270023,0.00002415808,0.01290636,0.9740855,0.0005828759,0.01026034,0.00001710856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4128253,0.02782803,0.4953847,0.0007686905,0.0003293537,0.0001586569,0.001337218,0.004281158,0.05708697],"genre_scores_gemma":[0.7389739,0.01218824,0.1954952,0.0003884113,0.0000721903,0.00008994506,0.001085392,0.0002744262,0.05143223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001002483,"threshold_uncertainty_score":0.003353655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099105583819063,"score_gpt":0.3069223815099201,"score_spread":0.1970118231280139,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}